Evidence map›Paper›PMID 39764162›Full record

ArticleFrontiers in pediatrics2024

Clinical profile and molecular genetic analysis of alport syndrome in children: a single center experience.

Aqsa Ahmad, Liang Lijun, Zhang Yan, Ma Yan, Zhao Shuai, Du Wangnan

Abstract read
In one paragraph

Article in Frontiers in pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Aqsa AhmadThe First Clinical Medical College of Ningxia Medical University, Yinchuan, China.
Liang LijunDepartment of Pediatrics, General Hospital of Ningxia Medical University, Yinchuan, China.
Zhang YanThe First Clinical Medical College of Ningxia Medical University, Yinchuan, China.
Ma YanDepartment of Pediatrics, Graduate School, Dalian Medical University, Liaoning, China.
Zhao ShuaiThe First Clinical Medical College of Ningxia Medical University, Yinchuan, China.
Du WangnanThe First Clinical Medical College of Ningxia Medical University, Yinchuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Alport syndrome (AS) is a multifaceted condition that primarily affects the basement membranes of the kidneys, ears, and eyes. AS is considered the second most common cause of hereditary renal failure, exhibiting varied clinical manifestations across different lifespans. The aim of this study is to investigate the clinical features and genetic profile of AS and to elucidate the genotype-phenotype correlation of AS. Method: The clinical and genetic data of ten children with AS treated at the General Hospital of Ningxia Medical University between January 2021 and May 2024 were retrospectively analyzed. Results: Ten children with AS, six male and four female patients, with a mean age of 9 years (ranging from 3 to 15 years) were reported. Hematuria was observed in all individuals, with six cases exhibiting microscopic hematuria and four cases exhibiting macroscopic hematuria. Furthermore, extra-renal manifestations were noted in five cases, encompassing ocular abnormalities ( Conclusion: In this study, the most commonly observed mutation was glycine substitution. Additionally, patients exhibiting severe mutations showed an increased vulnerability to complications, including proteinuria, ocular lesions, and hearing impairment. Genetic testing emerged as a critical resource for diagnosing AS. Furthermore, early diagnosis is crucial for implementing an appropriate management plan and assessing the prognosis.

Indexed as

alport syndromechildrenclinical featuresgenetic testinghematuria

Identifiers

PMID39764162
PMCPMC11701143

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.